The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-12-28"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "81278115 (up from 80787374 yesterday: 0.61 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1774390 (up from 1764863 yesterday: 0.54 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 13614232

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.18



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 19301543 168817 0.88 4281501 334836 1718 0.52 1.73
India 10224303 16432 0.16 520533 148153 252 0.17 1.45
Brazil 7504833 20548 0.27 880922 191570 431 0.23 2.55
Russia 3047335 27363 0.91 580374 54559 479 0.89 1.79
France 2619616 3106 0.12 268610 63235 368 0.59 2.41
United Kingdom 2336688 41460 1.81 594163 71217 357 0.50 3.05
Turkey 2162775 15197 0.71 1302343 20135 257 1.29 0.93
Italy 2056277 8581 0.42 313720 72370 445 0.62 3.52
Spain 1879413 24462 1.32 177085 50122 298 0.60 2.67
Germany 1672643 14004 0.84 472637 31145 848 2.80 1.86
Colombia 1603807 9310 0.58 226707 42374 203 0.48 2.64
Argentina 1590513 7216 0.46 124204 42868 218 0.51 2.70
Mexico 1389430 5996 0.43 207181 122855 429 0.35 8.84
Poland 1261010 3211 0.26 193140 27147 29 0.11 2.15
Iran 1206373 5908 0.49 154999 54814 121 0.22 4.54
Ukraine 1061074 4809 0.46 217176 18555 83 0.45 1.75
South Africa 1011871 7458 0.74 193993 27071 336 1.26 2.68
Peru 1007657 2111 0.21 33745 37474 106 0.28 3.72
Netherlands 781467 7458 0.96 207717 11135 45 0.41 1.42
Indonesia 719219 5854 0.82 137669 21452 215 1.01 2.98
Czechia 674340 3741 0.56 127507 11152 108 0.98 1.65
Belgium 639734 857 0.13 47119 19234 34 0.18 3.01
Romania 618429 2620 0.43 101193 15334 104 0.68 2.48
Chile 602028 1923 0.32 39886 16443 0 0.00 2.73
Iraq 592528 931 0.16 26513 12791 11 0.09 2.16
Canada 560618 6336 1.14 134046 15169 240 1.61 2.71
Bangladesh 510080 932 0.18 30337 7479 27 0.36 1.47
Pakistan 475085 1776 0.38 51906 9992 63 0.63 2.10
Philippines 470650 764 0.16 29251 9124 15 0.16 1.94
Switzerland 438284 10087 2.36 83978 7362 152 2.11 1.68
Morocco 433029 950 0.22 51841 7272 32 0.44 1.68
Israel 407285 5815 1.45 60488 3256 30 0.93 0.80
Portugal 396666 2093 0.53 71595 6677 58 0.88 1.68
Sweden 396048 0 0.00 117136 8279 0 0.00 2.09
Saudi Arabia 362339 119 0.03 3417 6196 11 0.18 1.71
Austria 353484 1592 0.45 47791 5931 50 0.85 1.68
Serbia 328619 2559 0.78 102410 3073 43 1.42 0.94
Hungary 316669 609 0.19 62521 9161 114 1.26 2.89
Jordan 289748 1802 0.63 45679 3778 20 0.53 1.30
Nepal 258840 659 0.26 16845 1832 7 0.38 0.71
Panama 233705 2348 1.01 54475 3892 52 1.35 1.67
Japan 223786 2374 1.07 59352 3152 52 1.68 1.41
Georgia 222143 538 0.24 57167 2418 41 1.72 1.09
Azerbaijan 215483 772 0.36 65718 2538 39 1.56 1.18
Ecuador 209758 403 0.19 11514 13994 2 0.01 6.67
Croatia 205246 316 0.15 53007 3739 68 1.85 1.82
United Arab Emirates 202863 1027 0.51 25286 660 3 0.46 0.33
Kazakhstan 198659 757 0.38 17882 2689 3 0.11 1.35
Bulgaria 198053 337 0.17 33868 7251 87 1.21 3.66
Belarus 188588 1841 0.99 39635 1394 9 0.65 0.74
Lebanon 172820 1594 0.93 34724 1409 15 1.08 0.82
Slovakia 168092 569 0.34 50809 1879 106 5.98 1.12
Dominican Republic 167405 641 0.38 18267 2404 0 0.00 1.44
Costa Rica 165762 2772 1.70 19341 2144 58 2.78 1.29
Armenia 157948 114 0.07 15604 2775 7 0.25 1.76
Denmark 156434 2482 1.61 63257 1204 30 2.56 0.77
Bolivia 155594 751 0.49 9937 9106 8 0.09 5.85
Kuwait 149857 204 0.14 5258 932 1 0.11 0.62
Qatar 143222 160 0.11 3136 244 0 0.00 0.17
Moldova 141924 569 0.40 24429 2909 18 0.62 2.05
Greece 135931 475 0.35 19210 4672 66 1.43 3.44
Guatemala 135441 132 0.10 9767 4773 5 0.10 3.52
West Bank and Gaza 134310 1217 0.91 34552 1332 23 1.76 0.99
Egypt 133900 1359 1.03 15053 7466 61 0.82 5.58
Tunisia 133204 1612 1.22 28875 4518 52 1.16 3.39
Lithuania 132369 1771 1.36 56333 1269 15 1.20 0.96
Oman 128563 91 0.07 3448 1495 0 0.00 1.16
Ethiopia 123145 281 0.23 9410 1912 3 0.16 1.55
Burma 122534 648 0.53 22103 2618 17 0.65 2.14
Honduras 119713 616 0.52 8690 3066 1 0.03 2.56
Slovenia 115327 521 0.45 29039 2595 30 1.17 2.25
Venezuela 112636 320 0.28 7732 1018 4 0.39 0.90
Bosnia and Herzegovina 109911 220 0.20 14967 3942 -11 -0.28 3.59
Malaysia 106690 1594 1.52 32396 455 3 0.66 0.43
Paraguay 105374 952 0.91 16651 2202 14 0.64 2.09

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 2192684 36295 1.68 801856 24419 137 0.56 1.11 55493.82 618.01 1 in 18
Texas 1700549 9563 0.57 306753 27038 72 0.27 1.59 58647.95 932.48 1 in 17
Florida 1280177 8198 0.64 214392 21308 96 0.45 1.66 59604.84 992.10 1 in 17
Illinois 942362 4453 0.47 146098 17470 134 0.77 1.85 74366.74 1378.65 1 in 13
New York 932552 10407 1.13 219418 37548 137 0.37 4.03 47937.34 1930.14 1 in 21
Ohio 675044 4519 0.67 190747 8571 62 0.73 1.27 57749.87 733.25 1 in 17
Georgia 636240 3941 0.62 129550 10696 7 0.07 1.68 59924.15 1007.40 1 in 17
Pennsylvania 618902 5630 0.92 186695 15055 86 0.57 2.43 48344.21 1175.99 1 in 21
Tennessee 567792 3712 0.66 159062 6588 76 1.17 1.16 83093.45 964.12 1 in 12
North Carolina 520716 3888 0.75 121354 6561 12 0.18 1.26 49648.34 625.57 1 in 20
Michigan 519876 3550 0.69 83476 12754 64 0.50 2.45 52056.02 1277.08 1 in 19
Wisconsin 510137 1557 0.31 66748 5060 21 0.42 0.99 87615.76 869.05 1 in 11
Arizona 504423 10086 2.04 138580 8469 42 0.50 1.68 66241.64 1112.16 1 in 15
Indiana 496306 2465 0.50 109028 7886 43 0.55 1.59 73721.01 1171.38 1 in 14
New Jersey 463965 2744 0.59 92386 18651 21 0.11 4.02 52235.43 2099.82 1 in 19
Minnesota 410138 1077 0.26 53986 5219 13 0.25 1.27 72724.25 925.41 1 in 14
Missouri 393529 1583 0.40 61302 5477 6 0.11 1.39 64119.53 892.39 1 in 16
Massachusetts 356934 4198 1.19 97609 12158 48 0.40 3.41 51361.08 1749.48 1 in 19
Alabama 347897 2269 0.66 75668 4712 21 0.45 1.35 70953.27 961.01 1 in 14
Virginia 336175 2599 0.78 77305 4861 7 0.14 1.45 39385.42 569.50 1 in 25
Colorado 326668 1650 0.51 62050 4631 21 0.46 1.42 56725.64 804.17 1 in 18
Louisiana 300539 817 0.27 48403 7336 45 0.62 2.44 64648.81 1578.04 1 in 15
South Carolina 298050 1871 0.63 63398 5173 18 0.35 1.74 57888.24 1004.72 1 in 17
Oklahoma 282587 3448 1.24 64198 2383 13 0.55 0.84 71414.98 602.23 1 in 14
Iowa 276649 1350 0.49 30665 3744 0 0.00 1.35 87683.95 1186.66 1 in 11
Maryland 269183 1985 0.74 51854 5740 28 0.49 2.13 44524.85 949.44 1 in 22
Utah 266590 1716 0.65 48952 1219 5 0.41 0.46 83154.55 380.23 1 in 12
Kentucky 258516 1454 0.57 55925 2563 8 0.31 0.99 57863.68 573.68 1 in 17
Washington 238672 1953 0.83 45725 3195 11 0.35 1.34 31342.79 419.57 1 in 32
Kansas 219044 6055 2.84 42173 2544 41 1.64 1.16 75187.23 873.23 1 in 13
Nevada 218377 868 0.40 47790 2971 21 0.71 1.36 70898.03 964.56 1 in 14
Arkansas 216528 1651 0.77 44486 3537 55 1.58 1.63 71749.69 1172.04 1 in 14
Mississippi 208089 1701 0.82 41895 4634 28 0.61 2.23 69918.88 1557.05 1 in 14
Connecticut 181200 8457 4.90 45356 5904 113 1.95 3.26 50823.40 1655.97 1 in 20
Nebraska 162849 875 0.54 21722 1587 28 1.80 0.97 84185.45 820.41 1 in 12
New Mexico 138659 691 0.50 28712 2382 36 1.53 1.72 66127.95 1136.00 1 in 15
Idaho 137010 795 0.58 25117 1377 23 1.70 1.01 76453.70 768.39 1 in 13
Oregon 110545 820 0.75 24757 1433 6 0.42 1.30 26209.55 339.76 1 in 38
South Dakota 97657 267 0.27 11157 1446 0 0.00 1.48 110389.43 1634.53 1 in 9
North Dakota 91557 93 0.10 8215 1270 4 0.32 1.39 120143.77 1666.53 1 in 8
Rhode Island 85602 3536 4.31 19784 1742 38 2.23 2.03 80805.32 1644.39 1 in 12
West Virginia 81436 726 0.90 25308 1263 9 0.72 1.55 45567.60 706.71 1 in 22
Montana 79999 219 0.27 11408 927 3 0.32 1.16 74850.90 867.35 1 in 13
Puerto Rico 73658 431 0.59 16036 1456 11 0.76 1.98 23063.57 455.90 1 in 43
Delaware 55488 431 0.78 14777 898 1 0.11 1.62 56983.01 922.19 1 in 18
Alaska 45909 128 0.28 8370 200 0 0.00 0.44 62756.22 273.39 1 in 16
Wyoming 43704 504 1.17 6719 405 32 8.58 0.93 75513.30 699.77 1 in 13
New Hampshire 41670 861 2.11 15854 715 7 0.99 1.72 30646.22 525.85 1 in 33
District of Columbia 28342 140 0.50 5023 771 3 0.39 2.72 40158.75 1092.46 1 in 25
Maine 22319 439 2.01 8544 326 3 0.93 1.46 16603.78 242.52 1 in 60
Hawaii 21395 45 0.21 2472 285 0 0.00 1.33 15110.83 201.29 1 in 66
Vermont 7120 91 1.29 2040 129 2 1.57 1.81 11410.46 206.73 1 in 88

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 32128516 2192684 6.82 6635165 801856 12.08 813128.5
2 Texas 13516243 1700549 12.58 2060897 306753 14.88 466143.5
3 Florida 15407980 1280177 8.31 2232120 214392 9.60 717393.1
4 Illinois 13036658 942362 7.23 1857875 146098 7.86 1028791.2
5 New York 24753360 932552 3.77 4006379 219418 5.48 1272433.4
6 Ohio 7639834 675044 8.84 1112506 190747 17.15 653586.2
7 Georgia 5248593 636240 12.12 727533 129550 17.81 494337.8
8 Pennsylvania 3851895 618902 16.07 482168 186695 38.72 300882.5
9 Tennessee 5575180 567792 10.18 841528 159062 18.90 815899.0
10 North Carolina 6816028 520716 7.64 1160213 121354 10.46 649883.1
11 Michigan 8040836 519876 6.47 982116 83476 8.50 805141.8
12 Wisconsin 5265766 510137 9.69 614711 66748 10.86 904392.6
13 Arizona 2782755 504423 18.13 393916 138580 35.18 365435.9
14 Indiana 5553545 496306 8.94 939005 109028 11.61 824920.4
15 New Jersey 7657518 463965 6.06 1367142 92386 6.76 862120.5
16 Minnesota 5281864 410138 7.77 787370 53986 6.86 936561.8
17 Missouri 3583787 393529 10.98 372358 61302 16.46 583923.3
18 Massachusetts 10713593 356934 3.33 1700037 97609 5.74 1541634.4
19 Alabama 1848117 347897 18.82 196544 75668 38.50 376921.7
20 Virginia 4168673 336175 8.06 646621 77305 11.96 488391.3
21 Colorado 4328896 326668 7.55 812893 62050 7.63 751709.4
22 Louisiana 4108164 300539 7.32 489340 48403 9.89 883705.3
23 South Carolina 3117127 298050 9.56 562261 63398 11.28 605418.6
24 Oklahoma 2597259 282587 10.88 370041 64198 17.35 656375.6
25 Iowa 1164835 276649 23.75 64182 30665 47.78 369194.7
26 Maryland 5611691 269183 4.80 881259 51854 5.88 928215.0
27 Utah 2203605 266590 12.10 270051 48952 18.13 687346.8
28 Kentucky 3124415 258516 8.27 352638 55925 15.86 699338.3
29 Washington 3710779 238672 6.43 567779 45725 8.05 487305.5
30 Kansas 985813 219044 22.22 124489 42173 33.88 338382.0
31 Nevada 2047364 218377 10.67 300248 47790 15.92 664694.9
32 Arkansas 2017146 216528 10.73 244073 44486 18.23 668410.5
33 Mississippi 1335747 208089 15.58 143253 41895 29.25 448817.2
34 Connecticut 4265232 181200 4.25 719811 45356 6.30 1196322.2
35 Nebraska 1705602 162849 9.55 240761 21722 9.02 881717.8
36 New Mexico 1939081 138659 7.15 278806 28712 10.30 924768.3
37 Idaho 537536 137010 25.49 44811 25117 56.05 299953.4
38 Oregon 2598391 110545 4.25 444730 24757 5.57 616062.8
39 South Dakota 369269 97657 26.45 28074 11157 39.74 417413.9
40 North Dakota 1231724 91557 7.43 95239 8215 8.63 1616304.2
41 Rhode Island 1948107 85602 4.39 296486 19784 6.67 1838945.4
42 West Virginia 1471430 81436 5.53 235847 25308 10.73 823340.2
43 Montana 782018 79999 10.23 89255 11408 12.78 731693.6
45 Delaware 956366 55488 5.80 168108 14777 8.79 982133.2
46 Alaska 1254397 45909 3.66 172257 8370 4.86 1714722.9
47 Wyoming 493080 43704 8.86 67164 6719 10.00 851960.8
48 New Hampshire 1015480 41670 4.10 148197 15854 10.70 746835.2
49 District of Columbia 885875 28342 3.20 146791 5023 3.42 1255226.7
50 Maine 1091810 22319 2.04 155186 8544 5.51 812230.5
51 Hawaii 800645 21395 2.67 92479 2472 2.67 565478.4
52 Vermont 684977 7120 1.04 98668 2040 2.07 1097738.9

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4791224 472528 573 0.12 9.86 3791 512 54765 24909 5.27
Veneto 3243320 243434 2782 1.16 7.51 2696 355 90942 6107 2.51
Piemonte 1657292 194575 313 0.16 11.74 3042 205 30303 7804 4.01
Campania 1997527 186564 433 0.23 9.34 1422 98 79296 2719 1.46
Emilia-Romagna 2518742 167077 750 0.45 6.63 2642 220 58298 7524 4.50
Lazio 2665428 158733 966 0.61 5.96 2820 307 76070 3576 2.25
Toscana 1853202 118965 181 0.15 6.42 890 164 10284 3617 3.04
Sicilia 1194520 90266 650 0.73 7.56 1064 175 33246 2326 2.58
Puglia 1012689 87084 645 0.75 8.60 1494 139 53157 2394 2.75
Liguria 696992 59277 173 0.29 8.50 718 61 5688 2852 4.81
Friuli Venezia Giulia 909588 47854 187 0.39 5.26 645 56 12112 1591 3.32
Marche 515371 39828 131 0.33 7.73 454 60 9737 1535 3.85
Abruzzo 506661 34533 41 0.12 6.82 458 38 11545 1176 3.41
Sardegna 471896 30301 156 0.52 6.42 497 44 16344 731 2.41
P.A. Bolzano 356239 28923 120 0.42 8.12 153 20 10607 722 2.50
Umbria 493224 28152 88 0.31 5.71 268 34 3558 610 2.17
Calabria 431495 22906 212 0.93 5.31 260 14 8701 456 1.99
P.A. Trento 443360 21148 99 0.47 4.77 374 45 1821 914 4.32
Basilicata 180907 10498 17 0.16 5.80 92 6 5930 247 2.35
Valle d’Aosta 61848 7242 61 0.85 11.71 95 4 494 376 5.19
Molise 113293 6389 7 0.11 5.64 57 8 2323 184 2.88

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 194930 2265 1.18 8060 37 0.46 4.13 22831.75 944.05 1 in 44
Ontario 176814 3159 1.82 4424 82 1.89 2.50 12018.49 300.71 1 in 83
Alberta 98269 788 0.81 1002 112 12.58 1.02 22267.33 227.05 1 in 45
British Columbia 48609 0 0.00 808 0 0.00 1.66 9510.82 158.09 1 in 105
Manitoba 24252 107 0.44 654 9 1.40 2.70 17605.59 474.77 1 in 57
Saskatchewan 14814 0 0.00 141 0 0.00 0.95 12536.54 119.32 1 in 80
Nova Scotia 1478 13 0.89 65 0 0.00 4.40 1512.09 66.50 1 in 661
New Brunswick 593 1 0.17 8 0 0.00 1.35 760.26 10.26 1 in 1315
Newfoundland and Labrador 389 2 0.52 4 0 0.00 1.03 746.12 7.67 1 in 1340
Nunavut 266 1 0.38 1 0 0.00 0.38 NA NA 1 in NA
Prince Edward Island 94 0 0.00 0 0 NaN 0.00 594.34 0.00 1 in 1683
Yukon 60 0 0.00 1 0 0.00 1.67 1460.64 24.34 1 in 685
Northwest Territories 24 0 0.00 0 0 NaN 0.00 534.47 0.00 1 in 1871
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 58990.05 1023.34 1 in 17
India 7635.78 110.64 1 in 131
Brazil 35856.82 915.29 1 in 28
Russia 21088.82 377.57 1 in 47
France 39104.58 943.95 1 in 26
United Kingdom 35169.90 1071.90 1 in 28
Turkey 26763.70 249.16 1 in 37
Italy 33999.29 1196.59 1 in 29
Spain 40278.89 1074.20 1 in 25
Germany 20203.44 376.19 1 in 49
Colombia 32684.06 863.54 1 in 31
Argentina 35927.56 968.33 1 in 28
Mexico 10754.10 950.89 1 in 93
Poland 33201.95 714.77 1 in 30
Iran 14864.13 675.38 1 in 67
Ukraine NA NA 1 in NA
South Africa 17839.76 477.27 1 in 56
Peru 31322.88 1164.87 1 in 32
Netherlands 45487.02 648.14 1 in 22
Indonesia 2724.31 81.26 1 in 367

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 733325 9555 1.30
Cook Illinois 386469 8137 2.11
Maricopa Arizona 309737 4948 1.60
Miami-Dade Florida 290363 4155 1.43
Harris Texas 233330 3332 1.43
Dallas Texas 188123 1936 1.03
San Bernardino California 186776 1437 0.77
Riverside California 174477 1870 1.07
Clark Nevada 165318 2267 1.37
Orange California 149607 1846 1.23
San Diego California 147530 1404 0.95
Tarrant Texas 138010 1369 0.99
Broward Florida 133480 1828 1.37
Queens New York 118956 7527 6.33
Kings New York 117417 7689 6.55
Bexar Texas 112261 1689 1.50
Salt Lake Utah 104167 535 0.51
El Paso Texas 97409 1616 1.66
Philadelphia Pennsylvania 91429 2369 2.59
Suffolk New York 91179 2262 2.48
Milwaukee Wisconsin 90070 971 1.08
Hennepin Minnesota 85354 1360 1.59
Nassau New York 84044 2366 2.82
Wayne Michigan 83901 3583 4.27
Franklin Ohio 81515 697 0.86
Palm Beach Florida 80865 1866 2.31
Bronx New York 80350 5124 6.38
Hillsborough Florida 74788 1064 1.42
Orange Florida 73691 732 0.99
Middlesex Massachusetts 72124 2680 3.72
Marion Indiana 68436 1096 1.60
Cuyahoga Ohio 67828 886 1.31
St. Louis Missouri 67459 1342 1.99
Westchester New York 67388 1652 2.45
Pima Arizona 67360 983 1.46
Santa Clara California 66270 652 0.98
Shelby Tennessee 65005 859 1.32
Utah Utah 64856 205 0.32
Kern California 64810 486 0.75
Fresno California 63811 646 1.01
Sacramento California 63416 809 1.28
King Washington 61148 977 1.60
New York New York 60646 3317 5.47
Mecklenburg North Carolina 60618 543 0.90
DuPage Illinois 60473 1003 1.66
Oakland Michigan 60147 1606 2.67
Davidson Tennessee 59345 549 0.93
Duval Florida 58491 722 1.23
Oklahoma Oklahoma 56748 424 0.75
Providence Rhode Island 55922 1277 2.28
Essex Massachusetts 55755 1659 2.98
Fairfield Connecticut 55037 1697 3.08
Gwinnett Georgia 54894 591 1.08
Fulton Georgia 54826 778 1.42
Prince George’s Maryland 53338 1069 2.00
Suffolk Massachusetts 52598 1357 2.58
Douglas Nebraska 51946 489 0.94
Allegheny Pennsylvania 51453 925 1.80
Will Illinois 51137 761 1.49
Hidalgo Texas 50032 2181 4.36
Jefferson Alabama 49981 675 1.35
Hamilton Ohio 49961 411 0.82
Jefferson Kentucky 49891 521 1.04
Alameda California 49796 625 1.26
Travis Texas 48951 542 1.11
Macomb Michigan 48885 1575 3.22
Lake Illinois 47325 797 1.68
Tulsa Oklahoma 46999 376 0.80
Denver Colorado 46708 654 1.40
New Haven Connecticut 46237 1509 3.26
Essex New Jersey 46145 2367 5.13
Collin Texas 46018 351 0.76
Bergen New Jersey 45840 2282 4.98
Hartford Connecticut 45589 1823 4.00
Montgomery Maryland 45050 1104 2.45
San Joaquin California 43529 618 1.42
Pinellas Florida 43480 1035 2.38
Middlesex New Jersey 43467 1632 3.75
Fairfax Virginia 42786 671 1.57
Kent Michigan 42704 529 1.24
Hudson New Jersey 42618 1681 3.94
Cobb Georgia 42088 566 1.34
Wake North Carolina 41823 337 0.81
Lubbock Texas 41034 537 1.31
Polk Iowa 40757 406 1.00
Kane Illinois 40678 594 1.46
Worcester Massachusetts 40418 1478 3.66
El Paso Colorado 40057 535 1.34
Erie New York 39874 1155 2.90
Bernalillo New Mexico 39689 548 1.38
Lee Florida 39332 652 1.66
Passaic New Jersey 39310 1427 3.63
Adams Colorado 39072 502 1.28
Lake Indiana 39049 573 1.47
Contra Costa California 38558 321 0.83
Sedgwick Kansas 38023 351 0.92
Johnson Kansas 37875 418 1.10
Baltimore Maryland 37799 909 2.40
Denton Texas 37262 321 0.86
Arapahoe Colorado 37162 539 1.45

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc